Triple
T14496354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Hantaï |
E359509
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Hantaï Simon |
E359509
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hantaï Simon | Statement: [Simon Hantaï, birthName, Hantaï Simon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hantaï Simon Context triple: [Simon Hantaï, birthName, Hantaï Simon]
-
A.
Simon Aumar
Simon Aumar is a fledgling but resourceful sorcerer and descendant of the powerful Elminster who serves as a key member of the adventuring party in the film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Simon Hantaï
chosen
Simon Hantaï was a Hungarian-French abstract painter known for his innovative "pliage" (folding) technique and significant influence on postwar European art.
-
C.
Jules Sitruk
Jules Sitruk is a French actor known for his early roles in films such as "Monsieur Batignole" and "Son of Rambow."
-
D.
Hervé
Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
-
E.
Serge D’Elia
Serge D’Elia is an entrepreneur best known as a founder of the iconic skate and streetwear shoe brand Vans.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a404cfc819098a5d6359475a712 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:21 a.m.